How to combine data from FTP/SFTP/SCP with Alteryx

Pipes allows you to quickly Integrate FTP/SFTP/SCP with Alteryx data for a combined analysis.
Load data from FTP/SFTP/SCP and Alteryx into your central data warehouse to analyze it with the business intelligence tool of your choice.
Pipes allows you to connect to FTP/SFTP/SCP, Alteryx, and more than 200 other APIs, web services, and databases with ready-to-use data connectors. Automate your data workflows through data pipelines without a single line of code.
1

Connect your data warehouse

It will be the destination of all data pipelines you build. Pipes supports relational databases in the cloud and on-premises.
2

Connect to FTP/SFTP/SCP and Alteryx

You just need to enter the associated credentials to allow Pipes access to the FTP/SFTP/SCP API and the Alteryx API.
3

Combine data from FTP/SFTP/SCP and Alteryx

Pipes lets you select the data from FTP/SFTP/SCP and Alteryx that you want to load to your data warehouse. These data pipelines will run automatically on your defined schedule!

About FTP/SFTP/SCP

FTP, SFTP and SCP are different internet protocols to access data server for downloading or uploading data.

About Alteryx

Alteryx is one of the leaders in self-service data analytics. With tools needed to aggregate and prepare data within a repeatable workflow Alteryx empowers analysts’ work. Alteryx connects decision makers and business analysts with data, regardless of format, size, or physical location, so they can cleanse data from warehouses, spreadsheets, cloud applications, join it and perform analytics.

Your benefits with Pipes

Get central access to all your data

Access data from 200+ data sources with our ready-to-use connectors and replicate it to your central data warehouse.

Automate your data workflows

Stop manually extracting data and automate your data integration without any coding. We maintain all pipelines for you and cover all API changes!

Enable data-driven decision-making

Empower everyone in your company with consistent and standardized data, automate data delivery and measure KPIs across different systems.